https://github.com/dalekube/hr

Methods for better worker data engineering in the human resources (HR) corporate domain. Designed for HR analytics practitioner to get value from common workforce-oriented data sets.
https://github.com/dalekube/hr

analytics data data-engineering data-science human-resources r

Last synced: 3 months ago
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Methods for better worker data engineering in the human resources (HR) corporate domain. Designed for HR analytics practitioner to get value from common workforce-oriented data sets.

• Host: GitHub
• URL: https://github.com/dalekube/hr
• Owner: dalekube
• Created: 2017-11-27T00:44:36.000Z (about 8 years ago)
• Default Branch: main
• Last Pushed: 2025-03-16T15:09:24.000Z (11 months ago)
• Last Synced: 2025-10-14T23:06:23.314Z (4 months ago)
• Topics: analytics, data, data-engineering, data-science, human-resources, r
• Language: R
• Homepage:
• Size: 609 KB
• Stars: 21
• Watchers: 3
• Forks: 10
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
![hR hex](https://github.com/dalekube/hR/blob/master/hR.png?raw=true)

Methods for better worker data engineering in the human resources (HR) corporate domain. Designed for HR analytics practitioner to get value from common workforce-oriented data sets.

# Installation

Install the package from CRAN by running the `install.packages("hR")` command in an active R session. Once installed, run `library(hR)` to load the package.